메뉴 건너뛰기




Volumn 41, Issue 10, 2009, Pages 909-923

A multi-objective metamodel-assisted memetic algorithm with strength-based local refinement

Author keywords

Fitness function; Metamodel assisted memetic algorithms; Multi objective optimization; Strength

Indexed keywords

COST OPTIMIZATION; DUAL ROLE; ENGINEERING APPLICATIONS; EVALUATION TOOL; FITNESS FUNCTIONS; GLOBAL SEARCH; GRADIENT BASED; LOCAL REFINEMENT; LOCAL SEARCH METHOD; MEMETIC ALGORITHMS; META MODEL; MULTI OBJECTIVE; MULTI-OBJECTIVE PROBLEM; OBJECTIVE FUNCTIONS; PRE-EVALUATION; STRENGTH FUNCTION;

EID: 70449521026     PISSN: 0305215X     EISSN: 10290273     Source Type: Journal    
DOI: 10.1080/03052150902866577     Document Type: Article
Times cited : (20)

References (38)
  • 1
    • 74749099654 scopus 로고    scopus 로고
    • Bonataki, E., Georgoulis, L., and Giannakoglou, C.G.K.C., 2004. Optimal design of combined cycle power plants based.on gas turbine performance data. In: ERCOFTAC design optimization: methods & applications, Athens, Greece, 31.March-2 April 2004.
    • Bonataki, E., Georgoulis, L., and Giannakoglou, C.G.K.C., 2004. Optimal design of combined cycle power plants based.on gas turbine performance data. In: ERCOFTAC design optimization: methods & applications, Athens, Greece, 31.March-2 April 2004.
  • 2
    • 32444435022 scopus 로고    scopus 로고
    • Exploiting gradient information in numerical multi-objective evolutionary optimization
    • Washington, DC, New York: ACM
    • Bosman, A. and de Jong, D.E., 2005. Exploiting gradient information in numerical multi-objective evolutionary optimization. In: GECCO.'05: Genetic and evolutionary computation conference, Washington, DC, 2005. New York: ACM,.755-762.
    • (2005) GECCO.'05: Genetic and evolutionary computation conference , pp. 755-762
    • Bosman, A.1    de Jong, D.E.2
  • 3
    • 18544390529 scopus 로고    scopus 로고
    • Buche, D., Schraudolph, N.N., and Koumoutsakos, P., 2005. Accelerating evolutionary algorithms with gaussian process.fitness function models. IEEE Transactions on Systems, Man and Cybernetics ? Part C: Applications and Reviews,.35 (2), 183-194.
    • Buche, D., Schraudolph, N.N., and Koumoutsakos, P., 2005. Accelerating evolutionary algorithms with gaussian process.fitness function models. IEEE Transactions on Systems, Man and Cybernetics ? Part C: Applications and Reviews,.35 (2), 183-194.
  • 4
    • 0004149207 scopus 로고
    • Oxford: Oxford University Press
    • Dawkins, R., 1976. The selfish gene. Oxford: Oxford University Press.
    • (1976) The selfish gene
    • Dawkins, R.1
  • 5
    • 0023437684 scopus 로고    scopus 로고
    • Drela, M. and Giles, M., 1987. Viscous-inviscid analysis of transonic and low Reynolds number airfoils. AIAA Journal,.25 (10), 1347-1355.
    • Drela, M. and Giles, M., 1987. Viscous-inviscid analysis of transonic and low Reynolds number airfoils. AIAA Journal,.25 (10), 1347-1355.
  • 6
    • 0036198088 scopus 로고    scopus 로고
    • Viscous-inviscid analysis of transonic and low Reynolds number airfoils
    • Giannakoglou, K.C., 2002. Viscous-inviscid analysis of transonic and low Reynolds number airfoils. Progress in.Aerospace.Sciences, 38, 43-76.
    • (2002) Progress in.Aerospace.Sciences , vol.38 , pp. 43-76
    • Giannakoglou, K.C.1
  • 7
    • 0008621289 scopus 로고    scopus 로고
    • Giannakoglou, K., Giotis, A., and Karakasis, M., 2001. Low-cost genetic optimization based on inexact pre-evaluations.and the sensitivity analysis of.design parameters. Journal of.Inverse Problems in Engineering, 9 (4), 389-412.
    • Giannakoglou, K., Giotis, A., and Karakasis, M., 2001. Low-cost genetic optimization based on inexact pre-evaluations.and the sensitivity analysis of.design parameters. Journal of.Inverse Problems in Engineering, 9 (4), 389-412.
  • 9
    • 74749104106 scopus 로고    scopus 로고
    • Hart, W., 1994. Adaptive global optimization with local search. Thesis (PhD). University of California, USA.
    • Hart, W., 1994. Adaptive global optimization with local search. Thesis (PhD). University of California, USA.
  • 11
    • 74749100734 scopus 로고    scopus 로고
    • Huang, V.L., et al., 2007. Problem definitions for performance assessment of multi-objective optimization algorithms..Technical report. Nanyang Technological University, Singapore Special Session on Constrained Real-Parameter.Optimization.
    • Huang, V.L., et al., 2007. Problem definitions for performance assessment of multi-objective optimization algorithms..Technical report. Nanyang Technological University, Singapore Special Session on Constrained Real-Parameter.Optimization.
  • 13
    • 0038273913 scopus 로고    scopus 로고
    • Balance between genetic search and local search in memetic algorithms for.multiobjective permutation flowshop scheduling
    • Ishibuchi, H., Yoshida, T., and Murata, T., 2003. Balance between genetic search and local search in memetic algorithms for.multiobjective permutation flowshop scheduling. IEEE Transactions on Evolutionary Computation, 7 (2), 204-223.
    • (2003) IEEE Transactions on Evolutionary Computation , vol.7 , Issue.2 , pp. 204-223
    • Ishibuchi, H.1    Yoshida, T.2    Murata, T.3
  • 14
    • 0037116765 scopus 로고    scopus 로고
    • Genetic local search for multi-objective combinatorial optimization
    • Jaszkiewicz, A., 2002. Genetic local search for multi-objective combinatorial optimization. European Journal of.Operational Research, 137 (22), 50-71.
    • (2002) European Journal of.Operational Research , vol.137 , Issue.22 , pp. 50-71
    • Jaszkiewicz, A.1
  • 15
    • 0035727744 scopus 로고    scopus 로고
    • Comparative studies of metamodeling techniques under multiple modeling criteria
    • Jin, R. and Chen, W., 2001. Comparative studies of metamodeling techniques under multiple modeling criteria. Structural.and.Multidisciplinary Optimization, 23 (1), 1-13.
    • (2001) Structural.and.Multidisciplinary Optimization , vol.23 , Issue.1 , pp. 1-13
    • Jin, R.1    Chen, W.2
  • 16
    • 74749097307 scopus 로고    scopus 로고
    • Jin, Y., Olhofer, M., and Sendhoff, B., 2000. On evolutionary optimization with approximate fitness functions. In:.D. Whitley, D.E. Goldberg, E. Cantu-Paz et al. eds. GECCO'00: Genetic and Evolutionary Computation Conference..Morgan Kaufmann, 1, 786-793.
    • Jin, Y., Olhofer, M., and Sendhoff, B., 2000. On evolutionary optimization with approximate fitness functions. In:.D. Whitley, D.E. Goldberg, E. Cantu-Paz et al. eds. GECCO'00: Genetic and Evolutionary Computation Conference..Morgan Kaufmann, 1, 786-793.
  • 17
    • 0036808455 scopus 로고    scopus 로고
    • A.framework.for evolutionary optimization with approximate fitness functions
    • Jin, Y., Olhofer, M., and Sendhoff, B., 2002. A.framework.for evolutionary optimization with approximate fitness functions..IEEE Transactions on Evolutionary Computation, 6 (5), 481-494.
    • (2002) IEEE Transactions on Evolutionary Computation , vol.6 , Issue.5 , pp. 481-494
    • Jin, Y.1    Olhofer, M.2    Sendhoff, B.3
  • 18
    • 33750335018 scopus 로고    scopus 로고
    • On the use of.metamodel- assisted, multi-objective evolutionary algorithms
    • Karakasis, M. and Giannakoglou, K., 2005. On the use of.metamodel- assisted, multi-objective evolutionary algorithms..Engineering Optimization, 38 (8), 941-957.
    • (2005) Engineering Optimization , vol.38 , Issue.8 , pp. 941-957
    • Karakasis, M.1    Giannakoglou, K.2
  • 21
    • 74749087101 scopus 로고    scopus 로고
    • Krasnogor, N., 2002. Studies on the theory and design space of memetic algorithms. Thesis (PhD). University of the West.of England, Bristol, UK.
    • Krasnogor, N., 2002. Studies on the theory and design space of memetic algorithms. Thesis (PhD). University of the West.of England, Bristol, UK.
  • 22
    • 74749087266 scopus 로고    scopus 로고
    • Krasnogor, N. and Gustafson, S., 2002. Toward truly 'memetic' memetic algorithms: discussion and proof of concepts..In: Advances in nature-inspired computation: the PPSN VII workshops. D. Corne, G. Fogel, W. Hart et al. (eds)..Reading, UK: PEDAL (Parallel, Emergent and Distributed Architectures Laboratory), University of Reading. ISBN.0-9543481-0-9. icalp.tex; 9/12/2003; 16:52; pp. 21-22.
    • Krasnogor, N. and Gustafson, S., 2002. Toward truly 'memetic' memetic algorithms: discussion and proof of concepts..In: Advances in nature-inspired computation: the PPSN VII workshops. D. Corne, G. Fogel, W. Hart et al. (eds)..Reading, UK: PEDAL (Parallel, Emergent and Distributed Architectures Laboratory), University of Reading. ISBN.0-9543481-0-9. icalp.tex; 9/12/2003; 16:52; pp. 21-22.
  • 25
    • 77953083106 scopus 로고    scopus 로고
    • Generalizing surrogate-assisted evolutionary computation
    • in press
    • Lim, D., et al., 2009. Generalizing surrogate-assisted evolutionary computation. IEEE Transactions on Evolutionary.Computation, in press.
    • (2009) IEEE Transactions on Evolutionary.Computation
    • Lim, D.1
  • 26
    • 0034274027 scopus 로고    scopus 로고
    • Madsen, J., Shyy, W., and Haftka, R., 2000. Response surface techniques for diffuser shape optimization. AIAA Journal,.38.(9), 1512-1518.
    • Madsen, J., Shyy, W., and Haftka, R., 2000. Response surface techniques for diffuser shape optimization. AIAA Journal,.38.(9), 1512-1518.
  • 29
    • 31744449012 scopus 로고    scopus 로고
    • Classification of adaptive memetic algorithms: A comparative study
    • Ong, Y.S., etal., 2006. Classification of adaptive memetic algorithms: a comparative study. IEEE Transactions on Systems,.Man, and Cybernetics - Part B, 36 (1), 141-152.
    • (2006) IEEE Transactions on Systems,.Man, and Cybernetics - Part B , vol.36 , Issue.1 , pp. 141-152
    • Ong, Y.S.1
  • 31
    • 0037394089 scopus 로고    scopus 로고
    • Evolutionary optimization of computationally expensive problems via surrogate.modeling
    • Ong, Y., Nair, P., and Keane, A., 2000. Evolutionary optimization of computationally expensive problems via surrogate.modeling. AIAA Journal, 41 (4), 687-696.
    • (2000) AIAA Journal , vol.41 , Issue.4 , pp. 687-696
    • Ong, Y.1    Nair, P.2    Keane, A.3
  • 32
    • 24344478637 scopus 로고    scopus 로고
    • An efficient Pareto set identification approach for multiobjective optimization on black-box.functions
    • Shan, S. and Wang, G.G., 2005. An efficient Pareto set identification approach for multiobjective optimization on black-box.functions. Journal of.Mechanical Design, 127 (5), 866-874.
    • (2005) Journal of.Mechanical Design , vol.127 , Issue.5 , pp. 866-874
    • Shan, S.1    Wang, G.G.2
  • 35
    • 34248638758 scopus 로고    scopus 로고
    • Memetic algorithm using multi-surrogates for computationally expensive optimization problems
    • Zhou, Z., et al., 2007a. Memetic algorithm using multi-surrogates for computationally expensive optimization problems..Journal of.Soft Computing, 11 (10), 957-971.
    • (2007) Journal of.Soft Computing , vol.11 , Issue.10 , pp. 957-971
    • Zhou, Z.1
  • 37
    • 0034199979 scopus 로고    scopus 로고
    • Comparison of multiobjective evolutionary algorithms: Empirical results
    • Zitzler, E., Deb, K., and Thiele, L., 2000. Comparison of multiobjective evolutionary algorithms: empirical results.Evolutionary Computation, 8.(2), 173-195.
    • (2000) Evolutionary Computation , vol.8 , Issue.2 , pp. 173-195
    • Zitzler, E.1    Deb, K.2    Thiele, L.3
  • 38
    • 21944437047 scopus 로고    scopus 로고
    • SPEA2: Improving the strength Pareto evolutionary algorithm for.multiobjective optimization. Technical report
    • Zitzler, E., Laumans, M., and Thiele, L., 2001. SPEA2: Improving the strength Pareto evolutionary algorithm for.multiobjective optimization. Technical report. Zurich TIK-Report 103.
    • (2001) Zurich TIK-Report , vol.103
    • Zitzler, E.1    Laumans, M.2    Thiele, L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.